Longest AI platform development hackathon
- Who
- Glimmora International
- What
- 24 hour(s)
- Where
- India (Pune)
- When
- 19 May 2026
The longest AI platform development hackathon lasted 24 hours and was achieved by Glimmora International (India), in Pune, Maharashtra, India on 19 May 2026.
The record recognizes a continuous AI platform development hackathon in which participants collaboratively designed developed, prototyped, and deployed artificial intelligence-powered systems and enterprise technology platforms over an uninterrupted duration measured to the nearest second.
During the officially adjudicated event, Glimmora International developed and demonstrated 54 interconnected enterprise AI platforms spanning industries including governance, cybersecurity, healthcare, hospitality, finance, compliance, defence, media, and enterprise automation.
The event maintained continuous development activity throughout the full duration of the attempt, with synchronized engineering operations, structured execution workflows, and compliance with all applicable Guinness World Records guidelines for the category.
What distinguished the attempt was not only the duration of the hackathon, but the scale and enterprise-focused nature of the systems demonstrated. The platforms included AI orchestration layers, governance frameworks, operational dashboards, automation workflows, security models, and deployable enterprise architecture capabilities rather than isolated proof-of-concept demonstrations.
The event was led by Santosh Kharje alongside senior leadership members Kiran Kamble and Phani Prakash Lakkaraju.
The platforms developed during the record attempt included solutions focused on healthcare intelligence, cybersecurity protection, governance and compliance automation, hospitality operations, financial intelligence, media operations, defence simulation systems, and enterprise workflow automation.
The event also highlighted a broader industry trend toward interconnected enterprise AI ecosystems, where multiple intelligent systems operate under unified governance, operational intelligence, and shared architecture models.